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Selecting a Targeting Method to Identify BPL Households in India

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  • Sabina Alkire, Suman Seth

Abstract

This paper proposes how to select a methodology to target multidimensionally poor households, and how to update that targeting exercise periodically. We present this methodology in the context of discussions regarding the selection of a targeting methodology in India. In 1992, 1997, and 2002 the Indian government identified households that are Below the Poverty Line (BPL) and in updating the 2002 methodology, alternative methods have been proposed and vigorously debated. A fourth BPL method was published and a corresponding Socio Economic Caste Census (SECC), implemented. Using the third National Family Health Survey (NFHS3), this paper illustrates how a BPL targeting method using SECC variables might be calibrated to a multidimensional poverty measure. This paper compares the fit between a benchmark measure of multidimensional poverty and several plausible targeting methods to determine which method(s) approximate it - as well as related measures - most closely. We find a ten-item binary scoring method, which uses variables already available in the SECC questionnaire, provides a strong proxy. The emphasis of this paper is to illustrate how a particular targeting method can be justified, rather than to advocate any particular solution.

Suggested Citation

  • Sabina Alkire, Suman Seth, 2012. "Selecting a Targeting Method to Identify BPL Households in India," OPHI Working Papers 53, Queen Elizabeth House, University of Oxford.
  • Handle: RePEc:qeh:ophiwp:ophiwp053
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    1. Alkire, Sabina & Seth, Suman, 2015. "Multidimensional Poverty Reduction in India between 1999 and 2006: Where and How?," World Development, Elsevier, vol. 72(C), pages 93-108.
    2. Asri, Viola, 2019. "Targeting of social transfers: Are India’s poor older people left behind?," World Development, Elsevier, vol. 115(C), pages 46-63.
    3. Watmough, Gary R. & Atkinson, Peter M. & Saikia, Arupjyoti & Hutton, Craig W., 2016. "Understanding the Evidence Base for Poverty–Environment Relationships using Remotely Sensed Satellite Data: An Example from Assam, India," World Development, Elsevier, vol. 78(C), pages 188-203.

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